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Although activity related to working memory has been observed in several brain regions\n                    <jats:sup>1\u20133<\/jats:sup>\n                    , how neural populations actually represent working memory\n                    <jats:sup>4\u20137<\/jats:sup>\n                    and the mechanisms by which this activity is maintained\n                    <jats:sup>8\u201312<\/jats:sup>\n                    remain unclear\n                    <jats:sup>13\u201315<\/jats:sup>\n                    . Here we describe the neural implementation of visual working memory in mice alternating between a delayed non-match-to-sample task and a simple discrimination task that does not require working memory but has identical stimulus, movement and reward statistics. Transient optogenetic inactivations revealed that distributed areas of the neocortex were required selectively for the maintenance of working memory. Population activity in visual area AM and premotor area M2 during the delay period was dominated by orderly low-dimensional dynamics\n                    <jats:sup>16,17<\/jats:sup>\n                    that were, however, independent of working memory. Instead, working memory representations were embedded in high-dimensional population activity, present in both cortical areas, persisted throughout the inter-stimulus delay period, and predicted behavioural responses during the working memory task. To test whether the distributed nature of working memory was dependent on reciprocal interactions between cortical regions\n                    <jats:sup>18\u201320<\/jats:sup>\n                    , we silenced one cortical area (AM or M2) while recording the feedback it received from the other. Transient inactivation of either area led to the selective disruption of inter-areal communication of working memory. Therefore, reciprocally interconnected cortical areas maintain bound high-dimensional representations of working memory.\n                  <\/jats:p>","DOI":"10.1038\/s41586-022-05014-3","type":"journal-article","created":{"date-parts":[[2022,7,27]],"date-time":"2022-07-27T12:31:33Z","timestamp":1658925093000},"page":"381-389","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":87,"title":["Cortical feedback loops bind distributed representations of working memory"],"prefix":"10.1038","volume":"608","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-0593-7236","authenticated-orcid":false,"given":"Ivan","family":"Voitov","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8947-408X","authenticated-orcid":false,"given":"Thomas D.","family":"Mrsic-Flogel","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2022,7,27]]},"reference":[{"key":"5014_CR1","doi-asserted-by":"publisher","first-page":"215","DOI":"10.1016\/j.neuron.2018.05.026","volume":"99","author":"NM Dotson","year":"2018","unstructured":"Dotson, N. 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